ObjectiveThe aim of this study was to develop a self-administered scale based on the special features of smartphone. The reliability and validity of the Smartphone Addiction Inventory (SPAI) was demonstrated.MethodsA total of 283 participants were recruited from Dec. 2012 to Jul. 2013 to complete a set of questionnaires, including a 26-item SPAI modified from the Chinese Internet Addiction Scale and phantom vibration and ringing syndrome questionnaire. There were 260 males and 23 females, with ages 22.9±2.0 years. Exploratory factor analysis, internal-consistency test, test-retest, and correlation analysis were conducted to verify the reliability and validity of the SPAI. Correlations between each subscale and phantom vibration and ringing were also explored.ResultsExploratory factor analysis yielded four factors: compulsive behavior, functional impairment, withdrawal and tolerance. Test–retest reliabilities (intraclass correlations  = 0.74–0.91) and internal consistency (Cronbach's α = 0.94) were all satisfactory. The four subscales had moderate to high correlations (0.56–0.78), but had no or very low correlation to phantom vibration/ringing syndrome.ConclusionThis study provides evidence that the SPAI is a valid and reliable, self-administered screening tool to investigate smartphone addiction. Phantom vibration and ringing might be independent entities of smartphone addiction.

The aim of this study was to evaluate the extent to which gender and other factors predict the severity of online gaming addiction among Taiwanese adolescents. A total of 395 junior high school students were recruited for evaluation of their experiences playing online games. Severity of addiction, behavioral characteristics, number of stressors, and level of satisfaction with daily life were compared between males and females who had previously played online games. Multiple regression analysis was used to explore gender differences in the relationships between severity of online gaming addiction and a number of variables. This study found that subjects who had previously played online games were predominantly male. Gender differences were also found in the severity of online gaming addiction and motives for playing. Older age, lower self-esteem, and lower satisfaction with daily life were associated with more severe addiction among males, but not among females. Special strategies accounting for gender differences must be implemented to prevent adolescents with risk factors from becoming addicted to online gaming.

The aim of the study is to examine the differences in the diversity of family factors between adolescents with and without Internet addiction and substance use experience. A total of 3662 students (2328 boys and 1334 girls) were recruited from seven junior high schools, six senior high schools, and four vocational high schools in southern Taiwan. Internet addiction and substance experience were classified according to the score of Chen Internet Addiction Scale Questionnaires for Experience of Substance use. The family factors assessed included perceived family satisfaction, family economic status, parents' marriage status, care-givers, the frequency of intra-family conflict, families' habitual alcohol use, and perceived parents' or care givers' attitude toward adolescents' substance use. This study demonstrated that the characteristics of higher parent-adolescent conflict, habitual alcohol use of siblings, perceived parents' positive attitude to adolescent substance use, and lower family function could be used develop a predictive model for Internet addiction in the multiple logistic regression analysis. The former three family factors were also sufficient in themselves to develop a predictive model for substance use experience. The results revealed that adolescent Internet addiction and substance use experience shared similar family factors, which indicate that Internet addiction and substance use should be considered in the group of behavioral problem syndromes. A family-based preventive approach for Internet addiction and substance use should be introduced for adolescents with negative family factors.

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Aims:The aim of the present study was to compare psychiatric symptoms between adolescents with and without Internet addiction, as well as between analogs with and without substance use.Methods: A total of 3662 students (2328 male and 1334 female) were recruited for the study. Self-report scales were utilized to assess psychiatric symptoms, Internet addiction, and substance use.Results: It was found that Internet addiction or substance use in adolescents was associated with more severe psychiatric symptoms. Hostility and depression were associated with Internet addiction and substance use after controlling for other symptoms.Conclusions: This result partially supports the hypothesis that Internet addiction should be included in the organization of problem behavior theory, and it is suggested that prevention and intervention can best be carried out when grouped with other problem behaviors. Moreover, more attention should be devoted to hostile and depressed adolescents in the design of preventive strategies and the related therapeutic interventions for Internet addiction.

The aims of the present study were to develop diagnostic criteria of Internet addiction for adolescents and to examine the discriminating potential and validity of diagnostic criteria by an empirical community study among adolescent populations. We developed 13 candidate diagnostic criteria for characteristic symptoms of Internet addiction in adolescents. A total of 468 adolescents completed the Chen Internet Addiction Scale (CIAS) and were systematically assessed for Internet-using behaviors by seven psychiatrists using the diagnostic interview schedule. The sensitivity, specificity, and diagnostic accuracy of the 13 candidate diagnostic criteria were analyzed with references to the interviewers' global clinical impressions and CIAS results. The cutoff point of the diagnostic criteria to differentiate the Internet-addicted subjects with nonaddicted ones was then determined by the best diagnostic accuracy and the receiver operating characteristic curve. This study selected nine of the 13 candidate diagnostic criteria to construct the diagnostic criteria of Internet addiction for adolescents, which were composed of three main criteria: characteristic symptoms of Internet addiction, functional impairment secondary to Internet use, and exclusive criteria. The diagnostic criteria had high diagnostic accuracy, specificity, negative predictive value, accepted sensitivity, and accepted positive predictive rate. The validity of the diagnostic criteria proposed in this study was further confirmed by comparing the demographic and Internet-using characteristics between those with and without Internet addiction. The diagnostic criteria for Internet addiction can provide health care professionals with a means to communicate and make comparisons of clinical cases.

The aim of this study was to establish the optimal cut-off points of the Chen Internet Addiction Scale (CIAS), to screen for and diagnose Internet addiction among adolescents in the community by using the well-established diagnostic criteria of Internet addiction. This survey of 454 adolescents used screening (57/58) and diagnostic (63/64) cut-off points of the CIAS, a self-reported instrument, based on the results of systematic diagnostic interviews by psychiatrists. The area under the curve of the receiver operating characteristic curve revealed that CIAS has good diagnostic accuracy (89.6%). The screening cut-off point had high sensitivity (85.6%) and the diagnostic cut-off point had the highest diagnostic accuracy, classifying 87.6% of participants correctly. Accordingly, the screening point of the CIAS could provide a screening function in two-stage diagnosis, and the diagnostic point could serve as a diagnostic criterion in one-stage massive epidemiologic research.

Objective: This study aimed to examine the differences in personality characteristics between adolescents with and without Internet addiction and substance use experience as defined by the Tridimensional Personality Questionnaire (TPQ), and to compare personality characteristics among groups of adolescents with both Internet addiction and substance use experience (comorbid group), those with only Internet addition (Internet addiction group), those with only substance use experience (substance experience group), and those without Internet addiction or substance use experience (control group). Method: In the cross-sectional investigation, we recruited 3662 students (2328 boys and 1334 girls) from high schools in southern Taiwan. Our investigation was conducted using the TPQ, the Chen Internet Addiction Scale, and Questionnaires for Experience in Substance Use. Results: Adolescents with Internet addiction were more likely to have substance use experience. High novelty seeking (NS), high harm avoidance (HA), and low reward dependence (RD) predicted a higher proportion of adolescents with Internet addiction. High NS, low HA, and low RD predicted a higher proportion of adolescents with substance use experience. Of the 4 groups, the Internet addiction group had the highest HA scores and the comorbid group had the lowest HA scores. Conclusion: Adolescents with high NS and low RD should be provided with effective strategies for preventing Internet addiction and substance use. In addition, the Internet addiction group and the comorbid group should be provided with different preventative strategies focused on HA.